Customers

The Power of FittedCloud

Testimonials

“FittedCloud is instrumental in how we manage both cost and performance in AWS, especially since we have many IO intensive systems that rely on provisioned IOPS. FittedCloud enables us to dynamically optimize our resources, allowing us to handle large workload changes like bulk migrations of data into our new NoSQL systems without incurring long-term costs or a lot of manual re-provisioning.”

Eric BlumbergFounder, Smarter Agent

Ticketmaster’s cloud optimization practice is adding more tactics and strategies to provide cost savings insights on the types and kinds of services in use. These additional tactics are accretive which promote new layers of enterprise value in how our Product teams use and buy cloud. FittedCloud has identified significant savings potential annually by modeling our EBS storage, RDS, DynamoDB, and Lambda services behavior patterns via machine learning algorithms and narrow task AI event triggers we jointly developed. Value has already been achieved and expect continued success from the teams working together in 2018.

Dynamic Resource Optimization(DRO)

Dynamic Resource Optimization(DRO) is an approach that analyzes and executes optimization actions that are transparent and done in in post provisioned manner with minimal to no user interaction and workload downtime. DRO uses three components and combines results to help cloud users optimize their cost

Reactive: Looking at the utilization data real-time and identify the difference between provisioned and utilization and act as needed

Predictive: Using Machine learning to analyze past usage data and develop prediction algorithm for future use

User-driven Policies: Gather inputs through user-driven policies to further strengthen the optimization

Machine Learning Driven Cost Optimization

The fundamental premise of automation is based of Machine learning algorithms. FittedCloud analyzes utilization data from log reports like Cloud watch and directly from Server instances to predict resource utilization for future. These algorithms are adaptive learning models to support real-time changes in usage pattern. In this process, it also identifies anomalies and support for unexpected events.

Analyst Feedback

“When a vendor describes a problem we did not realize existed, we often wonder if the cure is any better than the disease. Or sometimes we don’t even agree with the vendor that the problem even exists, wondering if is this a product in search of a problem. This is one of those rare times when neither of those is the case. FittedCloud articulates an easy to understand the problem with a perfect motivator – paying too much. “

Advisory of the week : EC2 Autoscale Group Underutilized

The FittedCloud Actionable Advisories feature alerts customers to potential cost optimization opportunities and enables them to take immediate action using hot links.

This advisory identifies over provisioned AWS Auto Scaling Groups based on CPU utilization history. An Auto Scaling Group enables AWS customers to dynamically adjust the number of EC2 instances. However, many customers over provision the Auto Scale Group, resulting in unnecessary costs.